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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: studio-ousia/mluke-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: exp_acha_mluke_base_again
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # exp_acha_mluke_base_again
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+
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+ This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1684
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine_with_restarts
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+ - lr_scheduler_warmup_ratio: 0.2
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.4203 | 1.0 | 208 | 0.4335 |
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+ | 0.4144 | 2.0 | 416 | 0.2626 |
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+ | 0.2435 | 3.0 | 624 | 0.2097 |
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+ | 0.1661 | 4.0 | 832 | 0.2061 |
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+ | 0.1921 | 5.0 | 1040 | 0.2021 |
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+ | 0.115 | 6.0 | 1248 | 0.1835 |
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+ | 0.1205 | 7.0 | 1456 | 0.1695 |
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+ | 0.0198 | 8.0 | 1664 | 0.1703 |
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+ | 0.0267 | 9.0 | 1872 | 0.1640 |
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+ | 0.145 | 10.0 | 2080 | 0.1684 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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